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Yoshida H, Okada S, Wang F, Shiota S, Mori M, Kawamura M, Zhao X, Wang Y, Nishigaki N, Kobayashi A, Miura K, Yoshida S, Ikegami M, Ito A, Huang LT, Caroline Hsing YI, Yamagata Y, Morinaka Y, Yamasaki M, Kotake T, Yamamoto E, Sun J, Hirano K, Matsuoka M. Integrated genome-wide differentiation and association analyses identify causal genes underlying breeding-selected grain quality traits in japonica rice. MOLECULAR PLANT 2023; 16:1460-1477. [PMID: 37674315 DOI: 10.1016/j.molp.2023.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 08/17/2023] [Accepted: 09/03/2023] [Indexed: 09/08/2023]
Abstract
Improving grain quality is a primary objective in contemporary rice breeding. Japanese modern rice breeding has developed two different types of rice, eating and sake-brewing rice, with different grain characteristics, indicating the selection of variant gene alleles during the breeding process. Given the critical importance of promptly and efficiently identifying genes selected in past breeding for future molecular breeding, we conducted genome scans for divergence, genome-wide association studies, and map-based cloning. Consequently, we successfully identified two genes, OsMnS and OsWOX9D, both contributing to rice grain traits. OsMnS encodes a mannan synthase that increases the white core frequency in the endosperm, a desirable trait for sake brewing but decreases the grain appearance quality. OsWOX9D encodes a grass-specific homeobox-containing transcription factor, which enhances grain width for better sake brewing. Furthermore, haplotype analysis revealed that their defective alleles were selected in East Asia, but not Europe, during modern improvement. In addition, our analyses indicate that a reduction in grain mannan content during African rice domestication may also be caused a defective OsMnS allele due to breeding selection. This study not only reveals the delicate balance between grain appearance quality and nutrition in rice but also provides a new strategy for isolating causal genes underlying complex traits, based on the concept of "breeding-assisted genomics" in plants.
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Affiliation(s)
- Hideki Yoshida
- Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1248, Japan
| | - Satoshi Okada
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan; Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Uzurano, Kasai, Hyogo 675-2103, Japan
| | - Fanmiao Wang
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan; Research Center of Genetic Resources, NARO, 2-1-1 Kannondai, Tsukuba, Ibaraki 305-8602, Japan
| | - Shohei Shiota
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
| | - Masaki Mori
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
| | - Mayuko Kawamura
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan
| | - Xue Zhao
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Yiqiao Wang
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China
| | - Naho Nishigaki
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama, Japan
| | - Asako Kobayashi
- Fukui Agricultural Experiment Station, Fukui 918-8215, Japan
| | - Kotaro Miura
- Department of Bioscience and Biotechnology, Fukui Prefectural University, Fukui 910-1195, Japan
| | - Shinya Yoshida
- Hyogo Prefectural Research Center for Agriculture, Forestry and Fisheries, Kasai, Hyogo 679-0198, Japan; Research Institute for Food and Agriculture, Ryukoku University, Ootsu, Shiga 520-2194, Japan
| | - Masaru Ikegami
- Hyogo Prefectural Research Center for Agriculture, Forestry and Fisheries, Kasai, Hyogo 679-0198, Japan
| | - Akitoshi Ito
- Food Research Centre, Aichi Centre for Industry and Science Technology, 2-1-1 Shimpukuji-cho, Nagoya, Aichi 451-0083, Japan
| | - Lin-Tzu Huang
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan, China; Department of Agronomy, National Taiwan University, Taipei, Taiwan, China
| | - Yue-Ie Caroline Hsing
- Institute of Plant and Microbial Biology, Academia Sinica, Taipei, Taiwan, China; Department of Agronomy, National Taiwan University, Taipei, Taiwan, China
| | - Yoshiyuki Yamagata
- Plant Breeding Laboratory, Faculty of Agriculture, Kyushu University, 744, Motooka, Nishiku, Fukuoka, Japan
| | - Yoichi Morinaka
- Department of Bioscience and Biotechnology, Fukui Prefectural University, Fukui 910-1195, Japan
| | - Masanori Yamasaki
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Uzurano, Kasai, Hyogo 675-2103, Japan
| | - Toshihisa Kotake
- Division of Life Science, Graduate School of Science and Engineering, Saitama University, 255 Shimo-okubo, Sakura-ku, Saitama, Japan
| | - Eiji Yamamoto
- Graduate School of Agriculture, Meiji University, 1-1-1 Higashi-Mita, Tama-ku, Kawasaki, Kanagawa 214-8571, Japan
| | - Jian Sun
- Rice Research Institute, Shenyang Agricultural University, Shenyang, China.
| | - Ko Hirano
- Bioscience and Biotechnology Center, Nagoya University, Nagoya, Aichi 464-8601, Japan.
| | - Makoto Matsuoka
- Institute of Fermentation Sciences, Fukushima University, Fukushima 960-1248, Japan.
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Chigira K, Yamasaki M, Adachi S, Nagano AJ, Ookawa T. Identification of Novel Quantitative Trait Loci for Culm Thickness of Rice Derived from Strong-Culm Landrace in Japan, Omachi. RICE (NEW YORK, N.Y.) 2023; 16:4. [PMID: 36705856 PMCID: PMC9883377 DOI: 10.1186/s12284-023-00621-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 01/18/2023] [Indexed: 06/18/2023]
Abstract
Increasing the lodging resistance of rice through genetic improvement has been an important target in breeding. To further enhance the lodging resistance of high-yielding rice varieties amidst climate change, it is necessary to not only shorten culms but strengthen them as well. A landrace rice variety, Omachi, which was established more than 100 years ago, has the largest culm diameter and bending moment at breaking in the basal internodes among 135 temperate japonica accessions. Using unused alleles in such a landrace is an effective way to strengthen the culm. In this study, we performed quantitative trait locus (QTL) analysis to identify the genetic factors of culm strength of Omachi using recombinant inbred lines (RILs) derived from a cross between Omachi and Koshihikari, a standard variety in Japan. We identified three QTLs for the culm diameter of the 5th internode on chromosomes 3 (qCD3) and 7 (qCD7-1, qCD7-2). Among them, qCD7-2 was verified by QTL analysis using the F2 population derived from a cross between one of the RILs and Koshihikari. RNA-seq analysis of shoot apex raised 10 candidate genes underlying the region of qCD7-2. The increase in culm strength by accumulating Omachi alleles of qCD3, qCD7-1 and qCD7-2 was 25.0% in 2020. These QTLs for culm diameter pleiotropically increased spikelet number per panicle but did not affect days to heading or culm length. These results suggest that the Omachi alleles of qCD3, qCD7-1 and qCD7-2 are useful for breeding to increase lodging resistance and yield.
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Affiliation(s)
- Koki Chigira
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509 Japan
| | - Masanori Yamasaki
- Graduate School of Science and Technology, Niigata University, 8050 Ikarashi 2-no-cho, Nishi-Ku, Niigata City, Niigata 950-2181 Japan
| | - Shunsuke Adachi
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509 Japan
| | - Atsushi J. Nagano
- Faculty of Agriculture, Ryukoku University, 1-5 Yokotani, Seta Oe-cho, Otsu, Shiga 520-2194 Japan
- Institute for Advanced Biosciences, Keio University, 403-1 Nipponkoku, Daihouji, Tsuruoka, Yamagata 997-0017 Japan
| | - Taiichiro Ookawa
- Graduate School of Agriculture, Tokyo University of Agriculture and Technology, 3-5-8 Saiwai-cho, Fuchu, Tokyo, 183-8509 Japan
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Ding G, Hu B, Zhou Y, Yang W, Zhao M, Xie J, Zhang F. Development and Characterization of Chromosome Segment Substitution Lines Derived from Oryza rufipogon in the Background of the Oryza sativa indica Restorer Line R974. Genes (Basel) 2022; 13:genes13050735. [PMID: 35627119 PMCID: PMC9140843 DOI: 10.3390/genes13050735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 12/04/2022] Open
Abstract
Dongxiang wild rice (DXWR) (O. rufipogon Griff.), which has the northernmost worldwide distribution of a wild rice species, is a valuable genetic resource with respect to improving stress tolerance in cultivated rice (Oryza sativa L.). In the three-line hybrid rice breeding system, restorer lines play important roles in enhancing the tolerance of hybrid rice. However, restorer lines have yet to be used as a genomic background for development of substitution lines carrying DXWR chromosome segments. We developed a set of 84 chromosome segment substitution lines (CSSLs) from a donor parent DXWR × recurrent parent restorer line R974 (Oryza sativa indica) cross. On average, each CSSL carried 6.27 introgressed homozygous segments, with 93.37% total genome coverage. Using these CSSLs, we identified a single QTL, qDYST-1, associated with salt stress tolerance on chromosome 3. Furthermore, five CSSLs showing strong salt stress tolerance were subjected to whole-genome single-nucleotide polymorphism chip analyses, during which we detected a common substitution segment containing qDYST-1 in all five CSSLs, thereby implying the validity and efficacy of qDYST-1. These novel CSSLs could make a significant contribution to detecting valuable DXWR QTLs, and provide important germplasm resources for breeding novel restorer lines for use in hybrid rice breeding systems.
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Affiliation(s)
- Gumu Ding
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China; (G.D.); (Y.Z.); (M.Z.)
| | - Biaolin Hu
- Rice National Engineering Laboratory, Rice Research Institute, Jiangxi Academy of Agricultural Sciences, Nanchang 330022, China;
| | - Yi Zhou
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China; (G.D.); (Y.Z.); (M.Z.)
| | - Wanling Yang
- Jiangxi Provincial Key Laboratory of Protection and Utilization of Subtropical Plant Resources, Nanchang 330022, China;
| | - Minmin Zhao
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China; (G.D.); (Y.Z.); (M.Z.)
| | - Jiankun Xie
- Jiangxi Provincial Key Laboratory of Protection and Utilization of Subtropical Plant Resources, Nanchang 330022, China;
- Correspondence: (J.X.); (F.Z.)
| | - Fantao Zhang
- College of Life Sciences, Jiangxi Normal University, Nanchang 330022, China; (G.D.); (Y.Z.); (M.Z.)
- Correspondence: (J.X.); (F.Z.)
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Sun S, Wang Z, Xiang S, Lv M, Zhou K, Li J, Liang P, Li M, Li R, Ling Y, He G, Zhao F. Identification, pyramid, and candidate gene of QTL for yield-related traits based on rice CSSLs in indica Xihui18 background. MOLECULAR BREEDING : NEW STRATEGIES IN PLANT IMPROVEMENT 2022; 42:19. [PMID: 37309460 PMCID: PMC10248596 DOI: 10.1007/s11032-022-01284-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Accepted: 02/10/2022] [Indexed: 06/14/2023]
Abstract
Chromosome segment substitution line (CSSL) is important for functional analysis and design breeding of target genes. Here, a novel rice CSSL-Z431 was identified from indica restorer line Xihui18 as recipient and japonica Huhan3 as donor. Z431 contained six segments from Huhan3, with average substitution length of 2.12 Mb. Compared with Xihui18, Z431 increased panicle number per plant (PN) and displayed short-wide grains. The short-wide grain of Z431 was caused by decreased length and increased width of glume cell. Then, thirteen QTLs were identified in secondary F2 population from Xihui18/Z431. Again, eleven QTLs (qPL3, qPN3, qGPP12, qSPP12, qGL3, qGW5, qRLW2, qRLW3, qRLW5, qGWT3, qGWT5-2) were validated by six single-segment substitution lines (SSSLs, S1-S6) developed in F3. In addition, fifteen QTLs (qPN5, qGL1, qGL2, qGL5, qGW1, qGW5-1, qRLW1, qRLW5-2, qGWT1, qGWT2, qYD1, qYD2, qYD3, qYD5, qYD12) were detected by these SSSLs, while not be identified in the F2 population. Multiple panicles of Z431 were controlled by qPN3 and qPN5. OsIAGLU should be the candidate gene for qPN3. The short-wide grain of Z431 was controlled by qGL3, qGW5, etc. By DNA sequencing and qRT-PCR analysis, two best candidate genes for qGL3 and qGW5 were identified, respectively. In addition, pyramid of different QTLs in D1-D3 and T1-T2 showed independent inheritance or various epistatic effects. So, it is necessary to understand all genetic effects of target QTLs for designing breeding. Furthermore, these secondary substitution lines improved the deficiencies of Xihui18 to some extent, especially increasing yield per plant in S1, S3, S5, D1-D3, T1, and T2. Supplementary Information The online version contains supplementary material available at 10.1007/s11032-022-01284-x.
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Affiliation(s)
- Shuangfei Sun
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Zongbing Wang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Siqian Xiang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Meng Lv
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Kai Zhou
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Juan Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Peixuan Liang
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Miaomiao Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Ruxiang Li
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Yinghua Ling
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Guanghua He
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
| | - Fangming Zhao
- Rice Research Institute, Academy of Agricultural Science,, Southwest University, Chongqing, 400715 People’s Republic of China
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Kato K, Hirayama Y. Development and characterization of chromosome segment substitution lines derived from backcross between japonica donor rice cultivar Yukihikari and japonica recipient cultivar Kirara397. BREEDING SCIENCE 2021; 71:283-290. [PMID: 34377077 PMCID: PMC8329885 DOI: 10.1270/jsbbs.20128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2020] [Accepted: 12/24/2020] [Indexed: 05/27/2023]
Abstract
Grain yield-related traits and grain quality-related traits are important for rice cultivars. The quantitative trait loci (QTLs) involved in controlling the natural variation in these traits among closely related cultivars are still unclear. The present study describes the development of a novel chromosome segment substitution line (CSSL) population derived from a cross between the temperate japonica cultivars Yukihikari and Kirara397, which are grown in Hokkaido, the northernmost limit for rice cultivation. Days to heading, culm length, panicle length, panicle number, brown grain weight per plant, thousand brown grain weight, brown grain length, brown grain width, brown grain thickness, apparent amylose content, and protein content were evaluated. Panicle length, brown grain length and amylose content differed significantly in the parental cultivars. Thirty-five significant changes in the evaluated traits were identified in the CSSLs. A total of 28 QTLs were located on chromosomes 1, 2, 3, 4, 5, 6, 8, 9, 10, 11 and 12. These findings could be useful for breeding rice cultivars in the northernmost limit for rice cultivation.
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Affiliation(s)
- Kiyoaki Kato
- Department of Agro-Environmental Science, Obihiro University of Agriculture
and Veterinary Medicine, Nishi 2-11 Inada, Obihiro, Hokkaido
080-8555, Japan
| | - Yuji Hirayama
- Rice Breeding Group, Kamikawa Agricultural Experiment Station, Local
Independent Administrative Agency, Hokkaido Research Organization,
Minami 1-5, Pippu, Hokkaido 078-0397, Japan
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Liao S, Yan J, Xing H, Tu Y, Zhao H, Wang G. Genetic basis of vascular bundle variations in rice revealed by genome-wide association study. PLANT SCIENCE : AN INTERNATIONAL JOURNAL OF EXPERIMENTAL PLANT BIOLOGY 2021; 302:110715. [PMID: 33288021 DOI: 10.1016/j.plantsci.2020.110715] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2020] [Revised: 08/30/2020] [Accepted: 10/09/2020] [Indexed: 06/12/2023]
Abstract
The vascular bundles play important roles in transportation of photoassimilate, and the number, size, and capacity of vascular bundles influence the transportation efficiency. Dissecting the genetic basis may help to make better use of naturally occurring vascular bundle variations. Here, we conducted a genome-wide association study (GWAS) of the vascular bundle variations in a worldwide collection of 529 Oryza sativa accessions. A total of 42 and 93 significant association loci were identified in the neck panicle and flag leaf, respectively. The introgression lines showing extreme values of the target traits harbored at least one GWAS signal, indicating the reliability of the GWAS loci. Based on the data of near-isogenic lines and transgenic plants, Grain number, plant height, and heading date7 (Ghd7) was identified as a major locus for the natural variation of vascular bundles in the neck panicle at the heading stage. In addition, Narrow leaf1 (NAL1) was found to influence the vascular bundles in both the neck panicle and flag leaf, and the effects of the major haplotypes of NAL1 were characterized. The loci or candidate genes identified would help to improve vascular bundle system in rice breeding.
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Affiliation(s)
- Shiyu Liao
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Ju Yan
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Hongkun Xing
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Yuan Tu
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Hu Zhao
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China
| | - Gongwei Wang
- National Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research (Wuhan), Huazhong Agricultural University, Wuhan, China.
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Landraces of temperate japonica rice have superior alleles for improving culm strength associated with lodging resistance. Sci Rep 2020; 10:19855. [PMID: 33199753 PMCID: PMC7670413 DOI: 10.1038/s41598-020-76949-8] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 10/22/2020] [Indexed: 11/26/2022] Open
Abstract
Lodging can reduce grain yield and quality in cereal crops including rice (Oryza sativa L.). To achieve both high biomass production and lodging resistance, the breeding of new cultivars with strong culms is a promising strategy. However, little is known about the diversity of culm strength in temperate japonica rice and underlying genetic factors. Here, we report a wide variation of culm strength among 135 temperate japonica cultivars, and some landraces having the strongest culms among these cultivars. The genome-wide association study (GWAS) identified 55 quantitative trait loci for culm strength and morphological traits, and revealed several candidate genes. The superior allele of candidate gene for culm thickness, OsRLCK191, was found in many landraces but had not inherited to the modern improved cultivars. Our results suggest that landraces of temperate japonica rice have unutilized superior alleles for contributing future improvements of culm strength and lodging resistance.
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Shi Y, Liu A, Li J, Zhang J, Li S, Zhang J, Ma L, He R, Song W, Guo L, Lu Q, Xiang X, Gong W, Gong J, Ge Q, Shang H, Deng X, Pan J, Yuan Y. Examining two sets of introgression lines across multiple environments reveals background-independent and stably expressed quantitative trait loci of fiber quality in cotton. TAG. THEORETICAL AND APPLIED GENETICS. THEORETISCHE UND ANGEWANDTE GENETIK 2020; 133:2075-2093. [PMID: 32185421 PMCID: PMC7311500 DOI: 10.1007/s00122-020-03578-0] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 03/07/2020] [Indexed: 05/29/2023]
Abstract
Background-independent (BI) and stably expressed (SE) quantitative trait loci (QTLs) were identified using two sets of introgression lines across multiple environments. Genetic background more greatly affected fiber quality traits than environmental factors. Sixty-one SE-QTLs, including two BI-QTLs, were novel and 48 SE-QTLs, including seven BI-QTLs, were previously reported. Cotton fiber quality traits are controlled by QTLs and are susceptible to environmental influence. Fiber quality improvement is an essential goal in cotton breeding but is hindered by limited knowledge of the genetic basis of fiber quality traits. In this study, two sets of introgression lines of Gossypium hirsutum × G. barbadense were used to dissect the QTL stability of three fiber quality traits (fiber length, strength and micronaire) across environments using 551 simple sequence repeat markers selected from our high-density genetic map. A total of 76 and 120 QTLs were detected in the CCRI36 and CCRI45 backgrounds, respectively. Nine BI-QTLs were found, and 78 (41.71%) of the detected QTLs were reported previously. Thirty-nine and 79 QTLs were SE-QTLs in at least two environments in the CCRI36 and CCRI45 backgrounds, respectively. Forty-eight SE-QTLs, including seven BI-QTLs, were confirmed in previous reports, and 61 SE-QTLs, including two BI-QTLs, were considered novel. These results indicate that genetic background more strongly impacts on fiber quality traits than environmental factors. Twenty-three clusters with BI- and/or SE-QTLs were identified, 19 of which harbored favorable alleles from G. barbadense for two or three fiber quality traits. This study is the first report using two sets of introgression lines to identify fiber quality QTLs across environments in cotton, providing insights into the effect of genetic backgrounds and environments on the QTL expression of fiber quality and important information for the genetic basis underlying fiber quality traits toward QTL cloning and molecular breeding.
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Affiliation(s)
- Yuzhen Shi
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Aiying Liu
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Junwen Li
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jinfa Zhang
- Department of Plant and Environmental Sciences, New Mexico State University, Las Cruces, NM, 88003, USA
| | - Shaoqi Li
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jinfeng Zhang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Liujun Ma
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Rui He
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Weiwu Song
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Lixue Guo
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Quanwei Lu
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xianghui Xiang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Wankui Gong
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Juwu Gong
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Qun Ge
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Haihong Shang
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Xiaoying Deng
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Jingtao Pan
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China
| | - Youlu Yuan
- State Key Laboratory of Cotton Biology, Key Laboratory of Biological and Genetic Breeding of Cotton, The Ministry of Agriculture, Institute of Cotton Research, Chinese Academy of Agricultural Sciences, Anyang, 455000, Henan, China.
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Okada S, Yamasaki M. Validation of a quantitative trait locus for the white-core expression rate of grain on chromosome 6 in a brewing rice cultivar and development of DNA markers for marker-assisted selection. BREEDING SCIENCE 2019; 69:401-409. [PMID: 31598072 PMCID: PMC6776145 DOI: 10.1270/jsbbs.18166] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2018] [Accepted: 04/01/2019] [Indexed: 05/25/2023]
Abstract
Sake-brewing cultivars among varieties of Japanese rice (Oryza sativa L.) have traits adapted to the sake-brewing process, such as a high white-core expression rate (WCE). Our previous study detected putative quantitative trait loci (QTLs) associated with a high WCE derived from Yamadanishiki, a popular brewing rice cultivar. Because the occurrence of white-core grains depends on air temperature and the position of the grain on the panicle, phenotyping of WCE must consider these variable conditions. In this study, qWCE6, a QTL for the WCE on chromosome 6, was validated for the first time, and the phenotyping method examined for its suitability in fine-mapping. A clear tendency towards high WCE was observed in late-heading substituted lines which headed under low daily mean temperature at the experimental location. White-core grains were often expressed by the primary spikelets on the upper panicle, producing a high percentage of superior grains. The segregating population for qWCE6 in late heading revealed a distinct difference in WCE between the Koshihikari and Yamadanishiki homozygous alleles at qWCE6 as determined from that locality. Further, two insertion/deletion markers were developed for the marker-assisted selection of qWCE6. Our results will be useful for informing the breeding of sake-brewing rice cultivars.
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Affiliation(s)
- Satoshi Okada
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University,
Kasai, Hyogo 675-2103,
Japan
| | - Masanori Yamasaki
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University,
Kasai, Hyogo 675-2103,
Japan
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Zhu YJ, Sun ZC, Niu XJ, Ying JZ, Fan YY, Mou TM, Tang SQ, Zhuang JY. Dissection of three quantitative trait loci for grain size on the long arm of chromosome 10 in rice ( Oryza sativa L.). PeerJ 2019; 7:e6966. [PMID: 31143556 PMCID: PMC6526011 DOI: 10.7717/peerj.6966] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2019] [Accepted: 04/17/2019] [Indexed: 11/20/2022] Open
Abstract
Background Thousand grain weight is a key component of grain yield in rice, and a trait closely related to grain length (GL) and grain width (GW) that are important traits for grain quality. Causal genes for 16 quantitative trait loci (QTL) affecting these traits have been cloned, but more QTL remain to be characterized for establishing a genetic regulating network. A QTL controlling grain size in rice, qGS10, was previously mapped in the interval RM6100–RM228 on chromosome 10. This study aimed to delimitate this QTL to a more precise location. Method A total of 12 populations were used. The ZC9 population comprised 203 S1:2 families derived from a residual heterozygous (RH) plant in the F9 generation of the indica rice cross Teqing (TQ)/IRBB52, segregating the upper region of RM6100–RM228 and three more regions on chromosomes 1, 9, and 11. The Ti52-1 population comprised 171 S1 plants derived from one RH plant in F7 of TQ/IRBB52, segregating a single interval that was in the lower portion of RM6100–RM228. The other ten populations were all derived from Ti52-1, including five S1 populations with sequential segregating regions covering the target region and five near isogenic line (NIL) populations maintaining the same segregating pattern. QTL analysis for 1,000-grain weight, GL, and GW was performed using QTL IciMapping and SAS procedure GLM. Result Three QTL were separated in the original qGS10 region. The qGL10.1 was located in the upper region RM6704–RM3773, shown to affect GL only. The qGS10.1 was located within a 207.1-kb interval flanked by InDel markers Te20811 and Te21018, having a stable and relatively high effect on all the three traits analyzed. The qGS10.2 was located within a 1.2-Mb interval flanked by simple sequence repeat markers RM3123 and RM6673. This QTL also affected all the three traits but the effect was inconsistent across different experiments. QTL for grain size were also detected in all the other three segregating regions. Conclusion Three QTL for grain size that were tightly linked on the long arm of chromosome 10 of rice were separated using NIL populations with sequential segregating regions. One of them, qGS10.1, had a stable and relatively high effect on grain weight, GL, and GW, providing a good candidate for gene cloning. Another QTL, qGS10.2, had a significant effect on all the three traits but the effect was inconsistent across different experiments, providing an example of genotype-by-environmental interaction.
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Affiliation(s)
- Yu-Jun Zhu
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China.,State Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, China
| | - Zhi-Chao Sun
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
| | - Xiao-Jun Niu
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
| | - Jie-Zheng Ying
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
| | - Ye-Yang Fan
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
| | - Tong-Min Mou
- State Key Laboratory of Crop Genetic Improvement and National Center of Plant Gene Research, Huazhong Agricultural University, Wuhan, China
| | - Shao-Qing Tang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
| | - Jie-Yun Zhuang
- State Key Laboratory of Rice Biology and Chinese National Center for Rice Improvement, China National Rice Research Institute, Hangzhou, China
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11
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Okada S, Sasaki M, Yamasaki M. A novel Rice QTL qOPW11 Associated with Panicle Weight Affects Panicle and Plant Architecture. RICE (NEW YORK, N.Y.) 2018; 11:53. [PMID: 30225538 PMCID: PMC6141410 DOI: 10.1186/s12284-018-0246-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2018] [Accepted: 09/10/2018] [Indexed: 05/04/2023]
Abstract
BACKGROUND The improvement of rice yield is a crucial global issue, but evaluating yield requires substantial efforts. Rice yield comprises the following indices: panicle number (PN), grain number per panicle (GN), 1000-grain weight, and percentage of ripened grain. To simplify measurements, we analyzed one panicle weight (OPW) as a simplified yield index that integrates GN, grain weight, and percentage of ripened grain, and verified its suitability as a proxy for GN and grain weight in particular. RESULTS Quantitative trait locus (QTL) analysis using 190 recombinant inbred lines derived from Koshihikari (large panicle and small grain) and Yamadanishiki (small panicle and large grain), japonica cultivars detected three QTLs on chromosomes 5 (qOPW5), 7 (qOPW7) and 11 (qOPW11). Of these, qOPW5 and qOPW11 were detected over two years. qOPW5 and qOPW7 increased OPW, and qOPW11 decreased it at Yamadanishiki alleles. A chromosome segment substitution line (CSSL) with a genomic segment from Yamadanishiki substituted in the Koshihikari genetic background harboring qOPW5 increased grain weight. qOPW11 had the largest genetic effect of QTLs, which was validated using a CSSL. Substitution mapping using four CSSLs revealed that qOPW11 was located in the range of 1.46 Mb on chromosome 11. The CSSL harboring qOPW11 decreased primary and secondary branch numbers, culm length, and panicle length, and increased PN. CONCLUSIONS In this study, three QTLs associated with OPW were detected. The CSSL with the novel and largest QTL, qOPW11, differed in some traits associated with both panicle and plant architecture, indicating different functions for the meristem in the vegetative versus the reproductive stages. qOPW5 coincided with an identified QTL for grain width and grain weight, suggesting that qOPW5 was affected by rice grain size. OPW can be considered a useful trait for efficient detection of QTLs associated with rice yield.
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Affiliation(s)
- Satoshi Okada
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo 675-2103 Japan
| | - Megumi Sasaki
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo 675-2103 Japan
| | - Masanori Yamasaki
- Food Resources Education and Research Center, Graduate School of Agricultural Science, Kobe University, Kasai, Hyogo 675-2103 Japan
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Jiang J, Xing F, Wang C, Zeng X. Identification and Analysis of Rice Yield-Related Candidate Genes by Walking on the Functional Network. FRONTIERS IN PLANT SCIENCE 2018; 9:1685. [PMID: 30524460 PMCID: PMC6262309 DOI: 10.3389/fpls.2018.01685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2018] [Accepted: 10/30/2018] [Indexed: 05/04/2023]
Abstract
Rice (Oryza sativa L.) is one of the most important staple foods in the world. It is possible to identify candidate genes associated with rice yield using the model of random walk with restart on a functional similarity network. We demonstrated the high performance of this approach by a five-fold cross-validation experiment, as well as the robustness of the parameter r. We also assessed the strength of associations between known seeds and candidate genes in the light of the results scores. The candidates ranking at the top of the results list were considered to be the most relevant rice yield-related genes. This study provides a valuable alternative for rice breeding and biology research. The relevant dataset and script can be downloaded at the website: http://lab.malab.cn/jj/rice.htm.
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Affiliation(s)
- Jing Jiang
- School of Aerospace Engineering, Xiamen University, Xiamen, China
| | - Fei Xing
- School of Aerospace Engineering, Xiamen University, Xiamen, China
| | - Chunyu Wang
- School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
- *Correspondence: Chunyu Wang, Xiangxiang Zeng,
| | - Xiangxiang Zeng
- School of Information Science and Engineering, Xiamen University, Xiamen, China
- *Correspondence: Chunyu Wang, Xiangxiang Zeng,
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